List of Articles C73. Keywords: Game

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  1 - Analysis of the Evolutionary Game Theory among Iran & Saudi Arabia in the Context of Genetic Algorithm
  samaneh khatami alireza shakibaee
  Evolutionary game theory has been known as the most suitable tool for modeling the dynamics of strategic interactions. In this regard, evolutionary algorithms present the new approach for learning and decision modeling of bounded rationality factors. The objective of th More

  Evolutionary game theory has been known as the most suitable tool for modeling the dynamics of strategic interactions. In this regard, evolutionary algorithms present the new approach for learning and decision modeling of bounded rationality factors. The objective of this study is providing the new model of searching for optimal strategies in iterated prisoner's dilemma (IPD) using genetic algorithm. For this purpose, by simulating competition between Iran and Saudi Arabia in OPEC oil Coalition, we used 12 strategy types over 20 runs of genetic algorithm for maximizing individual’s scores and also minimizing competitor fitness scores. Results show that “Tit for Tat” with the highest average fitness in both competitions known as the optimal strategy. The other strategis like; Soft Majority, Trigger & TF2T are next in ranking. The strategy “All D” is known as inefficient strategy in competition with the lowest productivity. Manuscript profile